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This paper sets out to compare different methodologies for measuring the value(s) of live popular music and to explore the different motivations amongst a range of organisations engaged in that work.

The authors analyse how the values of live music are measured, who does it and why. Based on this analysis the authors present a model that visualises the myriad of organisations, methods, aims and objectives involved.

The authors identify three approaches to measuring the impact of live music (economic impact studies, mapping and censuses and social sciences and humanities) and three types of actors (industry, policy and academia). The analysis of these demonstrates that measuring live music is not a neutral activity, but itself constructs a vision on how live music ecologies function

For cultural organisations, demonstrating the outcomes of their work is important in acquiring various forms of support. The model presented in this paper helps them to select adequate methodologies and to reflect on the consequences of particular approaches to measuring live music activities.

While the number of studies measuring live music's impact is growing, theoretical and methodological reflection on these activities is missing. The authors compare the different methodologies by discussing strengths and weaknesses. This results in a model that identifies gaps in existing studies and explores new directions for future live music research. It enhances understanding of how different ways of measuring live music affect policymaking and conceptions of what live music is and should be.

The purpose of this study is to effectively optimize vehicle lane-changing behavior and alleviate traffic congestion in ramp area through the study of vehicle lane-changing behaviors in upstream segment of ramp areas.

In the upstream segment of ramp areas under a connected vehicle environment, different strategies of vehicle group lane-changing behaviors are modeled to obtain the best group lane-changing strategy. The traffic capacity of roads can be improved by controlling group lane-changing behavior and continuously optimizing lane-changing strategy through connected vehicle technologies. This paper constructs vehicle group lane-changing strategies in upstream segment of ramp areas under a connected vehicle environment. The proposed strategies are simulated by VISSIM.

The results show that different lane-changing strategies are modeled through vehicle group in the upstream segment of ramp areas, which can greatly reduce the delay of ramp areas.

The simulation results verify the validity and rationality of the corresponding vehicle group lane-changing behavior model strategies, effectively standardize the driver's lane-changing behavior, and improve road safety and capacity.

The purpose of this paper is to examine the effect of shocks in the various components of private capital inflows on economic growth in Nigeria using quarterly data in the period 1986Q1–2016Q4.

The study employs the impulse response function and the forecast error variance decomposition of the structural vector autoregression (SVAR) model.

The research result shows that shocks in foreign direct investment (FDI) inflows and portfolio investment inflows have a positive and significant impact on economic growth in Nigeria. In addition, FDIs accounted for significant variation in the growth of the Nigerian economy followed by portfolio investments, while personal remittances exerted the least variation in growth.

The government should promote a favorable macroeconomic environment for existing and potential foreign investors to ensure the continued inflows of FDI and portfolio investment.

The novelty of this study lies in disaggregating private capital inflows and analyzing the effect of the shock of each component on the growth of the Nigerian economy using SVAR.

The purpose of this paper is to summarize different methods of constructing the financial conditions index (FCI) and analyze current studies on constructing FCI for China. Due to shifts of China’s financial mechanisms in the post-crisis era, conventional ways of FCI construction have their limitations.

The paper suggests improvements in two aspects, i.e. using time-varying weights and introducing non-financial variables. In the empirical study, the author first develops an FCI with fixed weights for comparison, constructs a post-crisis FCI based on time-varying parameter vector autoregressive model and finally examines the FCI with time-varying weights concerning its explanatory and predictive power for inflation.

Results suggest that the FCI with time-varying weights performs better than one with fixed weights and the former better reflects China’s financial conditions. Furthermore, introduction of credit availability improves the FCI.

FCI constructed in this paper goes ahead of inflation by about 11 months, and it has strong explanatory and predictive power for inflation. Constructing an appropriate FCI is important for improving the effectiveness and predictive power of the post-crisis monetary policy and foe achieving both economic and financial stability.

In fire resistance tests (FRTs) of building materials, a crucial criterion to pass the test procedure is to avoid the leakage of the hot flue gases caused by gaps and cracks occurring due to the thermal exposure. The present study's aim is to calculate the deformation of a steel door, which is embedded within a wall made of bricks, and qualitatively determine the flue gas leakage.

A computational fluid dynamics/finite element method (CFD/FEM) coupling was introduced representing an intermediate approach between a one-way and a full two-way coupling methodology, leading to a simplified two-way coupling (STWC). In contrast to a full two way-coupling, the heat transfer through the steel door was simulated based on a one-way approach. Subsequently, the predicted temperatures at the door from the one-way simulation were used in the following CFD/FEM simulation, where the fluid flow inside and outside the furnace as well as the deformation of the door were calculated simultaneously.

The simulation showed large gaps and flue gas leakage above the door lock and at the upper edge of the door, which was in close accordance to the experiment. Furthermore, it was found that STWC predicted similar deformations compared to the one-way coupling.

Since two-way coupling approaches for fluid/structure interaction in fire research are computationally demanding, the number of studies is low. Only a few are dealing with the flue gas exit from rooms due to destruction of solid components. Thus, the present study is the first two-way approach dealing with flue gas leakage due to gap formation.

The purpose of this paper is to investigate the applicability of a direct current (DC) hysteresis measurement on power transformer terminals for the subsequent hysteresis model parametrization in transformer grey box topology models.

Two transformer topology models with two different hysteresis models are used together with a DC hysteresis measurement via the power transformer terminals to parameterize the hysteresis models by means of an optimization. The calculated current waveform with the derived model in the transformer no-load condition is compared to the measured no-load current waveforms to validate the model.

The proposed DC hysteresis measurement via the power transformer terminals is suitable to parametrize two hysteresis models implemented in transformer topology models to calculate the no-load current waveforms.

Different approaches for the measurement and utilization of transformer terminal measurements for the hysteresis model parametrization are discussed in literature. The transformer topology models, derived with the presented approach, are able to reproduce the transformer no-load current waveform with acceptable accuracy.

The purpose of this study is to develop an optimization method for charging plans with the implementation of time-of-day (TOD) electricity tariff, to reduce electricity bill.

Two optimization models for charging plans respectively with fixed and stochastic trip travel times are developed, to minimize the electricity costs of daily operation of an electric bus. The charging time is taken as the optimization variable. The TOD electricity tariff is considered, and the energy consumption model is developed based on real operation data. An optimal charging plan provides charging times at bus idle times in operation hours during the whole day (charging time is 0 if the bus is not get charged at idle time) which ensure the regular operation of every trip served by this bus.

The electricity costs of the bus route can be reduced by applying the optimal charging plans.

This paper produces a viable option for transit agencies to reduce their operation costs.

This paper aims to present the Expero4care model. Considering the growing need for a training evaluation model that does not simply fix processes, the Expero4care model represents the first attempt of a “quality model” dedicated to the learning outcomes of healthcare trainings.

Created as development of the Expero model (Cervai et al., 2013), the Expero4care model has been tailored for workplace learning in the healthcare sector and tested in six organizations across Europe. The model has been validated through the review of an international team of experts and its approval as QualiCert standard.

Expero4care allows the evaluation of the quality of learning outcomes focusing on competences, impact in the workplace, transferability, participation and credits. The evaluation process involves different categories of stakeholders (learners, trainers, colleagues, managers, internal or external bodies that can benefit the training’s results, i.e. final users of the service, such as patients and citizens), and it is based on a systematic data collection and comparison among expectations and perceptions. The implementation of the Expero4care model gives the opportunity to start a continuous improvement process of the trainings in the healthcare service.

Expero4care has been tested in both university courses and organizational trainings dedicated to professionals in the healthcare sector. The initial sample is not wide enough to cover all the countries and the types of trainings, so a larger implementation is needed to validate its appropriateness.

Expero4care is the first model created specifically for organizations providing training in the healthcare sector. The implementation of the Expero4care model – adaptable to different kind of organizations and trainings – means that it is possible to highlight the value of the training considering its impact on the workplace and on the citizens.

As the most commonly used tools to assess the quality of trainings consist of questionnaires submitted to participants at the end of the training and considering that quality models have not been utilized to analyse learning outcomes in healthcare, Expero4care represents the first quality model dedicated to training in healthcare service.

Business models are increasingly recognized as a concept to support innovation in organizations. The implementation and operation of a new or altered business model involves the (re-)design of an organization's business processes and their successful execution. This study reviews and synthesizes the existing body of literature to guide organizations in systematically moving from a business model design to the implementation and operation of the business model through their underlying business processes.

A systematic literature review of the methods that bridge business models and business processes is performed. The selected 34 studies are classified according to the method's characteristics and the support in the design, implementation and operation of business models.

The results of the systematic review provide an overview of existing methods that organizations can adopt when moving from business model design into the implementation and operation of their business model using processes.

This work provides a comprehensive overview and detailed insight into the existing methods that align business models and business processes. It increases the understanding on how these two concepts can be synthesized to support more effective digital innovation in organizations. Based on the review results, knowledge gaps are identified and an agenda for future research bridging the fields of business models and business processes is proposed.

This paper aims to conduct a review on disruptive business models. Considering that competition among companies will not only happen through new products, services or technologies but also through innovative business models, the disruptive business models arise to replace the existing business models, adapting the organizational structures to the products and services offered and emphasizing the proposition of unique value.

The literature on this topic was revised, allowing the obtaining of the state of the art and the construction of a research agenda. The analyzed literature was obtained from systematic searches by the term disruptive business model in some databases. For the analysis of the data, the content analysis strategy was used through categorizations in the material exploration phase, and, later, for the processing of the results, the authors made use of inference and interpretation regarding the content analyzed.

The collected literature made it possible to obtain a set of data formed by different views of authors on disruptive business models, which was analyzed and categorized to make new inferences and interpretations.

Considering that the literature on the disruptive process of business models is emerging and addressing an important phenomenon in the market that lacks the theoretical basis to sustain it, this paper contributes by presenting a consolidated examination on this subject, thus deepening the theoretical analyzes on this topic and reducing this lack in the literature. This study also presents a research agenda, which clarifies the disruptive business model gap and reveals some opportunities for future empirical researches.